Funder
ANID Fondecyt
Basal CMM
Latin America Google PhD Fellowship Program
ANID Exploracion
Publisher
Springer Science and Business Media LLC
Reference59 articles.
1. Alberti, G., De Vito, E., Lassas, M., Ratti, L., Santacesaria, M.: Learning the optimal Tikhonov regularizer for inverse problems. In: Ranzato, M. et al. (eds.) Advances in Neural Information Processing Systems, vol. 34. NeurIPS (2021)
2. Alessandrini, G.: Singular solutions of elliptic equations and the determination of conductivity by boundary measurements. J. Differ. Equ. 84, 252–272 (1990)
3. Alom, Md.Z., Taha, T., Yakopcic, C., Westberg, S., Sidike, P., Nasrin, M., Hasan, M., Van Essen, B.C., Awwal, A.A.S., Asari, V.K.: A state-of-the-art survey on deep learning theory and architectures. Electronics 8, 292 (2019)
4. Astala, K., Païvärinta, L.: Calderón’s inverse conductivity problem in the plane. Ann. Math. (2) 163, 265–299 (2006)
5. Bai, G., Koley, U., Mishra, S., Molinaro, R.: Physics informed neural networks (PINNs) for approximating nonlinear dispersive PDEs. J. Comput. Math. 39, 816–847 (2021)